Goodhart’s Law: How optimizing for metrics can hurt your product

Goodhart’s law in product management describes how metrics can become misleading when teams optimize them as targets rather than using them to assess whether customers, products, or businesses are genuinely improving. Drawing on examples of revenue growth masking falling new subscriptions, individually successful conversion tests creating a cluttered user experience, and stricter content metering harming long-term engagement, the discussion identifies warning signs such as delayed damage behind short-term gains, team KPIs that conflict with broader outcomes, and aggregate metrics concealing unfavorable underlying trends. It recommends pairing each target with a counter-metric to discourage harmful shortcuts, evaluating complete customer journeys instead of isolated touchpoints, using metrics diagnostically to locate problems rather than reward performance, and assigning every target a review or expiration date. The central argument is that effective teams measure broadly and decompose results carefully, while retaining judgment about whether improvements in numbers reflect meaningful improvements in the product.

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